Difference between Boundary value analysis & Equivalence partitioning
In this section, we are going to discuss some of the important differences between Boundary value analysis and Equivalence Partitioning.
But before we see the difference between Boundary value analysis and Equivalence Partitioning, first, we will understand both the terms in brief.
What is Boundary value analysis?
It is one of the extensively used test case design techniques for black-box testing. In this, we will test the boundary values as the input values near the boundary have higher chances of error. It is applicable at all levels of the testing process.
Whenever we perform the boundary value analysis technique, the test engineer focuses on entering boundary value whether the software is creating correct output or not.
What is Equivalence partitioning?
Another test case design technique is Equivalence partitioning, which is derived from the software's requirements and specifications. To cover maximum requirements Equivalence Partitioning uses the minimum test cases.
In this, the test cases should be designed to cover each partition at least once. And each value of every equal partition must display the same behavior as the other.
Boundary value analysis Vs. Equivalence partitioning
In the below table, we have listed some of the important difference between
Boundary value analysis and Equivalence partitioning:
After seeing all the major differences between Boundary Value Analysis and Equivalence Partitioning, we must conclude that the boundary value analysis is a better approach than Equivalence Partitioning.
Suppose testing values are repeated while comparing Equivalence Partitioning and Boundary Value Analysis. In that case, we can neglect the Equivalence Partitioning and perform only Boundary Value analysis as it covers all the values.
Therefore, the Boundary Value Analysis proves to be a good option in assuring the quality after the Equivalence Partitioning technique.